Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric24
Categorical1

Alerts

water_supply is highly overall correlated with Households and 6 other fieldsHigh correlation
Total_Population is highly overall correlated with Households and 9 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 11 other fieldsHigh correlation
Female_Population is highly overall correlated with Total_Population and 11 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with Female_Population and 3 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Power_usage is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Num_of_Business is highly overall correlated with Households and 8 other fieldsHigh correlation
Business_above_100 is highly overall correlated with Households and 8 other fieldsHigh correlation
annual_household_income is highly overall correlated with Total_Population and 6 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with Female_Population and 3 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 13 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Households and 8 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Average_Temp is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
Average_Wind is highly overall correlated with Average_Relative_HumadityHigh correlation
Average_Pressure is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
complex_area is highly overall correlated with Households and 9 other fieldsHigh correlation
water_supply has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
employment_insurance_ratio has unique valuesUnique

Reproduction

Analysis started2023-09-01 02:29:55.088556
Analysis finished2023-09-01 02:30:38.797387
Duration43.71 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6646.6648
Minimum4423.4667
Maximum8272.5161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:38.853235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum4423.4667
5-th percentile5282.6952
Q16258.4283
median6693.5167
Q37077.3917
95-th percentile7736.1597
Maximum8272.5161
Range3849.0495
Interquartile range (IQR)818.96341

Descriptive statistics

Standard deviation709.21752
Coefficient of variation (CV)0.10670277
Kurtosis0.46685733
Mean6646.6648
Median Absolute Deviation (MAD)411.06774
Skewness-0.45883224
Sum957119.73
Variance502989.49
MonotonicityNot monotonic
2023-09-01T11:30:38.947420image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5828.83871 1
 
0.7%
5624.964286 1
 
0.7%
6684.033333 1
 
0.7%
6820.225806 1
 
0.7%
6876.133333 1
 
0.7%
6745.645161 1
 
0.7%
7002.903226 1
 
0.7%
7685.678571 1
 
0.7%
7200 1
 
0.7%
6521.133333 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
4423.466667 1
0.7%
4741.741935 1
0.7%
4985.833333 1
0.7%
5036.870968 1
0.7%
5038.419355 1
0.7%
5075.5 1
0.7%
5107.580645 1
0.7%
5253.967742 1
0.7%
5445.483871 1
0.7%
5496 1
0.7%
ValueCountFrequency (%)
8272.516129 1
0.7%
8123 1
0.7%
7998.357143 1
0.7%
7929.903226 1
0.7%
7801.3 1
0.7%
7793.166667 1
0.7%
7773.419355 1
0.7%
7736.677419 1
0.7%
7733.225806 1
0.7%
7723.551724 1
0.7%

Total_Population
Real number (ℝ)

Distinct136
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22988.097
Minimum21695
Maximum23628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:39.066185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum21695
5-th percentile21903.2
Q122798.75
median23193
Q323290.25
95-th percentile23451.7
Maximum23628
Range1933
Interquartile range (IQR)491.5

Descriptive statistics

Standard deviation485.06929
Coefficient of variation (CV)0.021100889
Kurtosis0.50023617
Mean22988.097
Median Absolute Deviation (MAD)137
Skewness-1.2986178
Sum3310286
Variance235292.21
MonotonicityNot monotonic
2023-09-01T11:30:39.159663image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23254 2
 
1.4%
23191 2
 
1.4%
22277 2
 
1.4%
23314 2
 
1.4%
23195 2
 
1.4%
23251 2
 
1.4%
23174 2
 
1.4%
23257 2
 
1.4%
22766 1
 
0.7%
22768 1
 
0.7%
Other values (126) 126
87.5%
ValueCountFrequency (%)
21695 1
0.7%
21723 1
0.7%
21731 1
0.7%
21755 1
0.7%
21811 1
0.7%
21854 1
0.7%
21880 1
0.7%
21902 1
0.7%
21910 1
0.7%
21946 1
0.7%
ValueCountFrequency (%)
23628 1
0.7%
23529 1
0.7%
23522 1
0.7%
23511 1
0.7%
23478 1
0.7%
23472 1
0.7%
23470 1
0.7%
23452 1
0.7%
23450 1
0.7%
23449 1
0.7%

Households
Real number (ℝ)

Distinct121
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10920.333
Minimum10347
Maximum11584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:39.246882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum10347
5-th percentile10411.6
Q110474
median10911.5
Q311282.75
95-th percentile11557
Maximum11584
Range1237
Interquartile range (IQR)808.75

Descriptive statistics

Standard deviation396.77545
Coefficient of variation (CV)0.036333639
Kurtosis-1.3951494
Mean10920.333
Median Absolute Deviation (MAD)387
Skewness0.094752251
Sum1572528
Variance157430.76
MonotonicityNot monotonic
2023-09-01T11:30:39.336554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10466 3
 
2.1%
11289 3
 
2.1%
10464 2
 
1.4%
10892 2
 
1.4%
10439 2
 
1.4%
11301 2
 
1.4%
10751 2
 
1.4%
10451 2
 
1.4%
11132 2
 
1.4%
10475 2
 
1.4%
Other values (111) 122
84.7%
ValueCountFrequency (%)
10347 1
0.7%
10353 1
0.7%
10364 1
0.7%
10389 1
0.7%
10390 1
0.7%
10399 1
0.7%
10401 1
0.7%
10411 1
0.7%
10415 1
0.7%
10438 1
0.7%
ValueCountFrequency (%)
11584 1
0.7%
11581 2
1.4%
11572 1
0.7%
11568 1
0.7%
11566 1
0.7%
11561 1
0.7%
11557 2
1.4%
11554 1
0.7%
11551 1
0.7%
11529 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1090628
Minimum1.8728419
Maximum2.2690635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:39.425478image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.8728419
5-th percentile1.8967597
Q12.0252634
median2.1335289
Q32.214523
95-th percentile2.249159
Maximum2.2690635
Range0.39622165
Interquartile range (IQR)0.18925967

Descriptive statistics

Standard deviation0.11325514
Coefficient of variation (CV)0.053699273
Kurtosis-0.86987598
Mean2.1090628
Median Absolute Deviation (MAD)0.084215849
Skewness-0.54921502
Sum303.70504
Variance0.012826726
MonotonicityNot monotonic
2023-09-01T11:30:39.520935image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.269063497 1
 
0.7%
2.267168937 1
 
0.7%
2.072403881 1
 
0.7%
2.072243688 1
 
0.7%
2.069823868 1
 
0.7%
2.064160086 1
 
0.7%
2.05745787 1
 
0.7%
2.054410183 1
 
0.7%
2.049334167 1
 
0.7%
2.048099233 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.872841851 1
0.7%
1.875744754 1
0.7%
1.876435541 1
0.7%
1.880944147 1
0.7%
1.886601505 1
0.7%
1.890975167 1
0.7%
1.893224885 1
0.7%
1.896112891 1
0.7%
1.900425015 1
0.7%
1.9037127 1
0.7%
ValueCountFrequency (%)
2.269063497 1
0.7%
2.267168937 1
0.7%
2.264569664 1
0.7%
2.262621406 1
0.7%
2.259341082 1
0.7%
2.25175228 1
0.7%
2.249783675 1
0.7%
2.249783425 1
0.7%
2.245620789 1
0.7%
2.236299408 1
0.7%

Male_Population
Real number (ℝ)

Distinct125
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11421.826
Minimum10812
Maximum11748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:39.613562image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum10812
5-th percentile10926.5
Q111347.25
median11512
Q311550.5
95-th percentile11677.7
Maximum11748
Range936
Interquartile range (IQR)203.25

Descriptive statistics

Standard deviation228.49692
Coefficient of variation (CV)0.020005288
Kurtosis0.40485292
Mean11421.826
Median Absolute Deviation (MAD)76
Skewness-1.1724098
Sum1644743
Variance52210.844
MonotonicityNot monotonic
2023-09-01T11:30:39.709349image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11557 3
 
2.1%
11523 2
 
1.4%
11384 2
 
1.4%
11493 2
 
1.4%
11276 2
 
1.4%
11509 2
 
1.4%
11511 2
 
1.4%
11525 2
 
1.4%
11522 2
 
1.4%
11553 2
 
1.4%
Other values (115) 123
85.4%
ValueCountFrequency (%)
10812 1
0.7%
10822 1
0.7%
10830 1
0.7%
10852 1
0.7%
10882 1
0.7%
10906 1
0.7%
10922 1
0.7%
10925 1
0.7%
10935 1
0.7%
10946 1
0.7%
ValueCountFrequency (%)
11748 1
0.7%
11740 1
0.7%
11735 1
0.7%
11734 1
0.7%
11718 1
0.7%
11696 1
0.7%
11681 1
0.7%
11678 1
0.7%
11676 1
0.7%
11665 1
0.7%

Female_Population
Real number (ℝ)

Distinct119
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11566.271
Minimum10883
Maximum11947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:39.792431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum10883
5-th percentile10975.3
Q111462
median11677.5
Q311738
95-th percentile11811
Maximum11947
Range1064
Interquartile range (IQR)276

Descriptive statistics

Standard deviation259.91072
Coefficient of variation (CV)0.022471437
Kurtosis0.51784704
Mean11566.271
Median Absolute Deviation (MAD)75
Skewness-1.3067658
Sum1665543
Variance67553.583
MonotonicityNot monotonic
2023-09-01T11:30:39.877431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11708 3
 
2.1%
11742 3
 
2.1%
11682 2
 
1.4%
11664 2
 
1.4%
11821 2
 
1.4%
11693 2
 
1.4%
11712 2
 
1.4%
11735 2
 
1.4%
11122 2
 
1.4%
11677 2
 
1.4%
Other values (109) 122
84.7%
ValueCountFrequency (%)
10883 1
0.7%
10901 2
1.4%
10903 1
0.7%
10929 1
0.7%
10948 1
0.7%
10958 1
0.7%
10975 1
0.7%
10977 1
0.7%
11000 1
0.7%
11048 1
0.7%
ValueCountFrequency (%)
11947 1
0.7%
11869 1
0.7%
11859 1
0.7%
11841 1
0.7%
11825 1
0.7%
11821 2
1.4%
11814 1
0.7%
11794 1
0.7%
11783 1
0.7%
11782 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98757977
Minimum0.97731681
Maximum1.0015345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:39.956564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.97731681
5-th percentile0.98026665
Q10.98264569
median0.9874036
Q30.99198012
95-th percentile0.99631516
Maximum1.0015345
Range0.024217721
Interquartile range (IQR)0.0093344219

Descriptive statistics

Standard deviation0.0054605802
Coefficient of variation (CV)0.0055292549
Kurtosis-0.97776374
Mean0.98757977
Median Absolute Deviation (MAD)0.0046919095
Skewness0.22803677
Sum142.21149
Variance2.9817937 × 10-5
MonotonicityNot monotonic
2023-09-01T11:30:40.039034image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.001534527 1
 
0.7%
0.9996592264 1
 
0.7%
0.9841747656 1
 
0.7%
0.9841693195 1
 
0.7%
0.983380694 1
 
0.7%
0.9842146123 1
 
0.7%
0.9840089895 1
 
0.7%
0.9848445484 1
 
0.7%
0.9849376731 1
 
0.7%
0.9870995671 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.9773168058 1
0.7%
0.9777349962 1
0.7%
0.9785010197 1
0.7%
0.979092602 1
0.7%
0.9797885835 1
0.7%
0.9799063431 1
0.7%
0.9800102076 1
0.7%
0.9802418668 1
0.7%
0.9804070602 1
0.7%
0.9804538115 1
0.7%
ValueCountFrequency (%)
1.001534527 1
0.7%
0.9996592264 1
0.7%
0.9971068754 1
0.7%
0.9969990568 1
0.7%
0.996714729 1
0.7%
0.9964352402 1
0.7%
0.9963553531 1
0.7%
0.9963272976 1
0.7%
0.9962463743 1
0.7%
0.9961636829 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct73
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.008333
Minimum26.9
Maximum35.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:40.123178image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum26.9
5-th percentile27.1
Q128.075
median29.4
Q331.5
95-th percentile34.685
Maximum35.6
Range8.7
Interquartile range (IQR)3.425

Descriptive statistics

Standard deviation2.4055152
Coefficient of variation (CV)0.080161574
Kurtosis-0.56967331
Mean30.008333
Median Absolute Deviation (MAD)1.65
Skewness0.69175432
Sum4321.2
Variance5.7865035
MonotonicityNot monotonic
2023-09-01T11:30:40.221517image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.1 7
 
4.9%
28.7 6
 
4.2%
28.6 6
 
4.2%
28.5 6
 
4.2%
31.1 5
 
3.5%
27.3 5
 
3.5%
29.7 3
 
2.1%
29.4 3
 
2.1%
29.9 3
 
2.1%
29.2 3
 
2.1%
Other values (63) 97
67.4%
ValueCountFrequency (%)
26.9 2
 
1.4%
27 3
2.1%
27.1 7
4.9%
27.2 3
2.1%
27.3 5
3.5%
27.4 2
 
1.4%
27.5 3
2.1%
27.6 1
 
0.7%
27.7 1
 
0.7%
27.8 3
2.1%
ValueCountFrequency (%)
35.6 1
0.7%
35.4 1
0.7%
35.3 1
0.7%
35.1 1
0.7%
35 1
0.7%
34.9 1
0.7%
34.8 1
0.7%
34.7 1
0.7%
34.6 2
1.4%
34.5 1
0.7%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16586040
Minimum9865000
Maximum27427931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:40.342730image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum9865000
5-th percentile10868250
Q113434500
median15388588
Q319585250
95-th percentile25113573
Maximum27427931
Range17562931
Interquartile range (IQR)6150750

Descriptive statistics

Standard deviation4337907.5
Coefficient of variation (CV)0.26153968
Kurtosis-0.43769025
Mean16586040
Median Absolute Deviation (MAD)3054582.5
Skewness0.60246553
Sum2.3883897 × 109
Variance1.8817441 × 1013
MonotonicityNot monotonic
2023-09-01T11:30:40.459014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18360000 1
 
0.7%
17157000 1
 
0.7%
14619798 1
 
0.7%
14713048 1
 
0.7%
19005941 1
 
0.7%
24073654 1
 
0.7%
26907628 1
 
0.7%
27427931 1
 
0.7%
21651808 1
 
0.7%
18874399 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
9865000 1
0.7%
9935000 1
0.7%
10235000 1
0.7%
10433000 1
0.7%
10509000 1
0.7%
10572000 1
0.7%
10752000 1
0.7%
10854000 1
0.7%
10949000 1
0.7%
10958000 1
0.7%
ValueCountFrequency (%)
27427931 1
0.7%
27164211 1
0.7%
26907628 1
0.7%
26133879 1
0.7%
25203097 1
0.7%
25188141 1
0.7%
25181784 1
0.7%
25156535 1
0.7%
24870124 1
0.7%
24608824 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct133
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1114.5
Minimum575
Maximum1755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:40.567963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum575
5-th percentile806.75
Q1929.75
median1122
Q31248
95-th percentile1471.35
Maximum1755
Range1180
Interquartile range (IQR)318.25

Descriptive statistics

Standard deviation220.13407
Coefficient of variation (CV)0.19751823
Kurtosis0.092634614
Mean1114.5
Median Absolute Deviation (MAD)156
Skewness0.32273611
Sum160488
Variance48459.007
MonotonicityNot monotonic
2023-09-01T11:30:40.669784image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
874 3
 
2.1%
1122 2
 
1.4%
1173 2
 
1.4%
1262 2
 
1.4%
1023 2
 
1.4%
1205 2
 
1.4%
901 2
 
1.4%
821 2
 
1.4%
1236 2
 
1.4%
1007 2
 
1.4%
Other values (123) 123
85.4%
ValueCountFrequency (%)
575 1
0.7%
620 1
0.7%
757 1
0.7%
762 1
0.7%
764 1
0.7%
765 1
0.7%
783 1
0.7%
806 1
0.7%
811 1
0.7%
821 2
1.4%
ValueCountFrequency (%)
1755 1
0.7%
1726 1
0.7%
1707 1
0.7%
1558 1
0.7%
1545 1
0.7%
1544 1
0.7%
1479 1
0.7%
1473 1
0.7%
1462 1
0.7%
1454 1
0.7%

Business_above_100
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2708333
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:40.755405image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9.85
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.987664
Coefficient of variation (CV)0.91342595
Kurtosis2.3509684
Mean3.2708333
Median Absolute Deviation (MAD)1
Skewness1.6739439
Sum471
Variance8.9261364
MonotonicityNot monotonic
2023-09-01T11:30:41.397364image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 58
40.3%
3 24
16.7%
2 17
 
11.8%
4 14
 
9.7%
8 8
 
5.6%
5 6
 
4.2%
6 6
 
4.2%
13 4
 
2.8%
9 2
 
1.4%
11 2
 
1.4%
Other values (3) 3
 
2.1%
ValueCountFrequency (%)
1 58
40.3%
2 17
 
11.8%
3 24
16.7%
4 14
 
9.7%
5 6
 
4.2%
6 6
 
4.2%
7 1
 
0.7%
8 8
 
5.6%
9 2
 
1.4%
10 1
 
0.7%
ValueCountFrequency (%)
13 4
 
2.8%
12 1
 
0.7%
11 2
 
1.4%
10 1
 
0.7%
9 2
 
1.4%
8 8
5.6%
7 1
 
0.7%
6 6
4.2%
5 6
4.2%
4 14
9.7%

complex_area
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
485855.0
73 
485488.0
29 
346308.0
20 
485854.0
16 
495708.0
 
6

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1152
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row346308.0
2nd row346308.0
3rd row346308.0
4th row346308.0
5th row346308.0

Common Values

ValueCountFrequency (%)
485855.0 73
50.7%
485488.0 29
 
20.1%
346308.0 20
 
13.9%
485854.0 16
 
11.1%
495708.0 6
 
4.2%

Length

2023-09-01T11:30:41.461846image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-01T11:30:41.535993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
485855.0 73
50.7%
485488.0 29
 
20.1%
346308.0 20
 
13.9%
485854.0 16
 
11.1%
495708.0 6
 
4.2%

Most occurring characters

ValueCountFrequency (%)
8 291
25.3%
5 286
24.8%
4 189
16.4%
0 170
14.8%
. 144
12.5%
3 40
 
3.5%
6 20
 
1.7%
9 6
 
0.5%
7 6
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1008
87.5%
Other Punctuation 144
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 291
28.9%
5 286
28.4%
4 189
18.8%
0 170
16.9%
3 40
 
4.0%
6 20
 
2.0%
9 6
 
0.6%
7 6
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 291
25.3%
5 286
24.8%
4 189
16.4%
0 170
14.8%
. 144
12.5%
3 40
 
3.5%
6 20
 
1.7%
9 6
 
0.5%
7 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 291
25.3%
5 286
24.8%
4 189
16.4%
0 170
14.8%
. 144
12.5%
3 40
 
3.5%
6 20
 
1.7%
9 6
 
0.5%
7 6
 
0.5%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean783.83333
Minimum470
Maximum1213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:41.599432image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum470
5-th percentile470
Q1620
median765
Q3853.5
95-th percentile1213
Maximum1213
Range743
Interquartile range (IQR)233.5

Descriptive statistics

Standard deviation221.38578
Coefficient of variation (CV)0.28243987
Kurtosis-0.4274235
Mean783.83333
Median Absolute Deviation (MAD)117
Skewness0.67289828
Sum112872
Variance49011.664
MonotonicityNot monotonic
2023-09-01T11:30:41.654701image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
840 12
8.3%
838 12
8.3%
861 12
8.3%
851 12
8.3%
470 12
8.3%
553 12
8.3%
599 12
8.3%
627 12
8.3%
685 12
8.3%
692 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
470 12
8.3%
553 12
8.3%
599 12
8.3%
627 12
8.3%
685 12
8.3%
692 12
8.3%
838 12
8.3%
840 12
8.3%
851 12
8.3%
861 12
8.3%
ValueCountFrequency (%)
1213 12
8.3%
1177 12
8.3%
861 12
8.3%
851 12
8.3%
840 12
8.3%
838 12
8.3%
692 12
8.3%
685 12
8.3%
627 12
8.3%
599 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct10
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246
Minimum143
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:41.715682image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile143
Q1225.25
median268.5
Q3276
95-th percentile303
Maximum303
Range160
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation45.348071
Coefficient of variation (CV)0.18434175
Kurtosis0.013426047
Mean246
Median Absolute Deviation (MAD)25.5
Skewness-0.98176134
Sum35424
Variance2056.4476
MonotonicityNot monotonic
2023-09-01T11:30:41.770287image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
272 24
16.7%
276 24
16.7%
265 12
8.3%
232 12
8.3%
285 12
8.3%
303 12
8.3%
226 12
8.3%
223 12
8.3%
179 12
8.3%
143 12
8.3%
ValueCountFrequency (%)
143 12
8.3%
179 12
8.3%
223 12
8.3%
226 12
8.3%
232 12
8.3%
265 12
8.3%
272 24
16.7%
276 24
16.7%
285 12
8.3%
303 12
8.3%
ValueCountFrequency (%)
303 12
8.3%
285 12
8.3%
276 24
16.7%
272 24
16.7%
265 12
8.3%
232 12
8.3%
226 12
8.3%
223 12
8.3%
179 12
8.3%
143 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1381081
Minimum0.86666667
Maximum1.5505618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:41.831347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.86666667
5-th percentile0.86666667
Q11.0692925
median1.1116708
Q31.2147614
95-th percentile1.5505618
Maximum1.5505618
Range0.68389513
Interquartile range (IQR)0.14546891

Descriptive statistics

Standard deviation0.17749871
Coefficient of variation (CV)0.15595945
Kurtosis0.44274952
Mean1.1381081
Median Absolute Deviation (MAD)0.094666044
Skewness0.66150036
Sum163.88756
Variance0.031505792
MonotonicityNot monotonic
2023-09-01T11:30:41.884328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.099585062 12
8.3%
1.138075314 12
8.3%
0.8957528958 12
8.3%
1.104 12
8.3%
1.223175966 12
8.3%
1.340707965 12
8.3%
1.119341564 12
8.3%
1.550561798 12
8.3%
1.022624434 12
8.3%
1.211956522 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.8666666667 12
8.3%
0.8957528958 12
8.3%
1.022624434 12
8.3%
1.084848485 12
8.3%
1.099585062 12
8.3%
1.104 12
8.3%
1.119341564 12
8.3%
1.138075314 12
8.3%
1.211956522 12
8.3%
1.223175966 12
8.3%
ValueCountFrequency (%)
1.550561798 12
8.3%
1.340707965 12
8.3%
1.223175966 12
8.3%
1.211956522 12
8.3%
1.138075314 12
8.3%
1.119341564 12
8.3%
1.104 12
8.3%
1.099585062 12
8.3%
1.084848485 12
8.3%
1.022624434 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31994861
Minimum22910253
Maximum46310342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:41.942034image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum22910253
5-th percentile22910253
Q124750036
median29365700
Q337756028
95-th percentile46310342
Maximum46310342
Range23400089
Interquartile range (IQR)13005992

Descriptive statistics

Standard deviation8469612.1
Coefficient of variation (CV)0.26471789
Kurtosis-1.153749
Mean31994861
Median Absolute Deviation (MAD)5801434
Skewness0.61177096
Sum4.6072599 × 109
Variance7.1734329 × 1013
MonotonicityIncreasing
2023-09-01T11:30:42.001337image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
22910253 12
8.3%
23317633 12
8.3%
23810900 12
8.3%
25063081 12
8.3%
26446049 12
8.3%
27637435 12
8.3%
31093966 12
8.3%
32637526 12
8.3%
35841797 12
8.3%
43498720 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
22910253 12
8.3%
23317633 12
8.3%
23810900 12
8.3%
25063081 12
8.3%
26446049 12
8.3%
27637435 12
8.3%
31093966 12
8.3%
32637526 12
8.3%
35841797 12
8.3%
43498720 12
8.3%
ValueCountFrequency (%)
46310342 12
8.3%
45370627 12
8.3%
43498720 12
8.3%
35841797 12
8.3%
32637526 12
8.3%
31093966 12
8.3%
27637435 12
8.3%
26446049 12
8.3%
25063081 12
8.3%
23810900 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.28333
Minimum116.2
Maximum270.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:42.054922image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum116.2
5-th percentile116.2
Q1125.125
median193.45
Q3224.125
95-th percentile270.6
Maximum270.6
Range154.4
Interquartile range (IQR)99

Descriptive statistics

Standard deviation52.638849
Coefficient of variation (CV)0.28409921
Kurtosis-1.4284148
Mean185.28333
Median Absolute Deviation (MAD)41.3
Skewness-0.066124058
Sum26680.8
Variance2770.8484
MonotonicityNot monotonic
2023-09-01T11:30:42.108592image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
116.2 12
8.3%
118.9 12
8.3%
119.2 12
8.3%
127.1 12
8.3%
242 12
8.3%
214.1 12
8.3%
223 12
8.3%
220.2 12
8.3%
227.5 12
8.3%
270.6 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
116.2 12
8.3%
118.9 12
8.3%
119.2 12
8.3%
127.1 12
8.3%
171.8 12
8.3%
172.8 12
8.3%
214.1 12
8.3%
220.2 12
8.3%
223 12
8.3%
227.5 12
8.3%
ValueCountFrequency (%)
270.6 12
8.3%
242 12
8.3%
227.5 12
8.3%
223 12
8.3%
220.2 12
8.3%
214.1 12
8.3%
172.8 12
8.3%
171.8 12
8.3%
127.1 12
8.3%
119.2 12
8.3%

employment_ratio
Real number (ℝ)

Distinct133
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3035.7083
Minimum2222
Maximum4002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:42.178659image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2222
5-th percentile2430.3
Q12611.25
median2895.5
Q33508.5
95-th percentile3948.35
Maximum4002
Range1780
Interquartile range (IQR)897.25

Descriptive statistics

Standard deviation504.28627
Coefficient of variation (CV)0.16611816
Kurtosis-1.0478699
Mean3035.7083
Median Absolute Deviation (MAD)360.5
Skewness0.48933678
Sum437142
Variance254304.64
MonotonicityNot monotonic
2023-09-01T11:30:42.254120image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2535 3
 
2.1%
3492 2
 
1.4%
2388 2
 
1.4%
3104 2
 
1.4%
2449 2
 
1.4%
2435 2
 
1.4%
2884 2
 
1.4%
3616 2
 
1.4%
2613 2
 
1.4%
3535 2
 
1.4%
Other values (123) 123
85.4%
ValueCountFrequency (%)
2222 1
0.7%
2264 1
0.7%
2317 1
0.7%
2374 1
0.7%
2388 2
1.4%
2408 1
0.7%
2430 1
0.7%
2432 1
0.7%
2433 1
0.7%
2435 2
1.4%
ValueCountFrequency (%)
4002 1
0.7%
3995 1
0.7%
3991 1
0.7%
3990 1
0.7%
3989 1
0.7%
3976 1
0.7%
3962 1
0.7%
3953 1
0.7%
3922 1
0.7%
3914 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13252678
Minimum0.094641792
Maximum0.18363595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:42.333161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.094641792
5-th percentile0.10366987
Q10.11228156
median0.12442491
Q30.15410125
95-th percentile0.18001475
Maximum0.18363595
Range0.088994153
Interquartile range (IQR)0.041819685

Descriptive statistics

Standard deviation0.024840369
Coefficient of variation (CV)0.1874366
Kurtosis-0.87458326
Mean0.13252678
Median Absolute Deviation (MAD)0.015935576
Skewness0.63504002
Sum19.083856
Variance0.00061704394
MonotonicityNot monotonic
2023-09-01T11:30:42.406046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09464179232 1
 
0.7%
0.09645535106 1
 
0.7%
0.1355006502 1
 
0.7%
0.1440898448 1
 
0.7%
0.1460947336 1
 
0.7%
0.1408511933 1
 
0.7%
0.1352328672 1
 
0.7%
0.139403988 1
 
0.7%
0.1452682076 1
 
0.7%
0.1540237898 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.09464179232 1
0.7%
0.09645535106 1
0.7%
0.09963448721 1
0.7%
0.1015658424 1
0.7%
0.1022522908 1
0.7%
0.1028645272 1
0.7%
0.1035075653 1
0.7%
0.1035364295 1
0.7%
0.1044260617 1
0.7%
0.1045058202 1
0.7%
ValueCountFrequency (%)
0.1836359458 1
0.7%
0.1836086696 1
0.7%
0.1823873314 1
0.7%
0.1819346573 1
0.7%
0.1812388244 1
0.7%
0.1806038179 1
0.7%
0.1805059052 1
0.7%
0.1802619693 1
0.7%
0.1786138252 1
0.7%
0.1776051188 1
0.7%

Average_Temp
Real number (ℝ)

Distinct114
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.045139
Minimum-8.8
Maximum25.4
Zeros1
Zeros (%)0.7%
Negative25
Negative (%)17.4%
Memory size6.3 KiB
2023-09-01T11:30:42.479439image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-8.8
5-th percentile-2.97
Q11.95
median11.65
Q320.1
95-th percentile24.485
Maximum25.4
Range34.2
Interquartile range (IQR)18.15

Descriptive statistics

Standard deviation9.4911872
Coefficient of variation (CV)0.85930899
Kurtosis-1.3165222
Mean11.045139
Median Absolute Deviation (MAD)8.45
Skewness-0.09880487
Sum1590.5
Variance90.082634
MonotonicityNot monotonic
2023-09-01T11:30:42.555712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.1 4
 
2.8%
-2.4 4
 
2.8%
25.4 3
 
2.1%
17.6 3
 
2.1%
11.1 3
 
2.1%
12.6 3
 
2.1%
23.1 2
 
1.4%
6.4 2
 
1.4%
23.9 2
 
1.4%
16.5 2
 
1.4%
Other values (104) 116
80.6%
ValueCountFrequency (%)
-8.8 1
 
0.7%
-5 1
 
0.7%
-3.9 2
1.4%
-3.7 1
 
0.7%
-3.3 2
1.4%
-3 1
 
0.7%
-2.8 1
 
0.7%
-2.4 4
2.8%
-2.3 1
 
0.7%
-2.2 1
 
0.7%
ValueCountFrequency (%)
25.4 3
2.1%
25.3 1
 
0.7%
25 1
 
0.7%
24.7 1
 
0.7%
24.5 2
1.4%
24.4 1
 
0.7%
24.3 1
 
0.7%
24.2 1
 
0.7%
24 1
 
0.7%
23.9 2
1.4%

Monthly_Rainfall
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.69306
Minimum2.6
Maximum675.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:42.633267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile10.905
Q143.175
median86.75
Q3144.625
95-th percentile457.31
Maximum675.9
Range673.3
Interquartile range (IQR)101.45

Descriptive statistics

Standard deviation137.51794
Coefficient of variation (CV)1.0685731
Kurtosis4.2019865
Mean128.69306
Median Absolute Deviation (MAD)46.25
Skewness2.0973916
Sum18531.8
Variance18911.183
MonotonicityNot monotonic
2023-09-01T11:30:42.707917image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.5 2
 
1.4%
133 2
 
1.4%
13.5 2
 
1.4%
71.3 2
 
1.4%
45.7 2
 
1.4%
39.7 1
 
0.7%
262.7 1
 
0.7%
72.3 1
 
0.7%
11.5 1
 
0.7%
33.9 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
2.6 1
0.7%
4.5 1
0.7%
4.9 1
0.7%
5 1
0.7%
5.7 1
0.7%
8.5 1
0.7%
10.6 1
0.7%
10.8 1
0.7%
11.5 1
0.7%
12.7 1
0.7%
ValueCountFrequency (%)
675.9 1
0.7%
623.4 1
0.7%
584.6 1
0.7%
565.5 1
0.7%
560.8 1
0.7%
510.8 1
0.7%
504 1
0.7%
461.6 1
0.7%
433 1
0.7%
405.6 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct33
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.708333
Minimum57
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:42.782369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile62
Q167
median75
Q380
95-th percentile86
Maximum92
Range35
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.6321688
Coefficient of variation (CV)0.10354553
Kurtosis-0.761271
Mean73.708333
Median Absolute Deviation (MAD)6
Skewness-0.013461178
Sum10614
Variance58.25
MonotonicityNot monotonic
2023-09-01T11:30:42.852121image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
75 11
 
7.6%
66 9
 
6.2%
81 9
 
6.2%
78 8
 
5.6%
67 7
 
4.9%
83 7
 
4.9%
80 7
 
4.9%
76 7
 
4.9%
68 6
 
4.2%
73 5
 
3.5%
Other values (23) 68
47.2%
ValueCountFrequency (%)
57 1
 
0.7%
58 1
 
0.7%
59 1
 
0.7%
60 1
 
0.7%
61 3
 
2.1%
62 3
 
2.1%
63 3
 
2.1%
64 5
3.5%
65 5
3.5%
66 9
6.2%
ValueCountFrequency (%)
92 1
 
0.7%
90 1
 
0.7%
89 1
 
0.7%
88 2
 
1.4%
86 4
2.8%
85 1
 
0.7%
83 7
4.9%
82 5
3.5%
81 9
6.2%
80 7
4.9%

Ground_Temp
Real number (ℝ)

Distinct122
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.029861
Minimum-1.2
Maximum32.4
Zeros1
Zeros (%)0.7%
Negative5
Negative (%)3.5%
Memory size6.3 KiB
2023-09-01T11:30:42.927747image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-1.2
5-th percentile0.215
Q14.65
median14.3
Q323.25
95-th percentile27.925
Maximum32.4
Range33.6
Interquartile range (IQR)18.6

Descriptive statistics

Standard deviation9.9759086
Coefficient of variation (CV)0.71104828
Kurtosis-1.434356
Mean14.029861
Median Absolute Deviation (MAD)9.2
Skewness0.00073840405
Sum2020.3
Variance99.518752
MonotonicityNot monotonic
2023-09-01T11:30:43.000303image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 4
 
2.8%
25.7 3
 
2.1%
26.4 3
 
2.1%
0.5 2
 
1.4%
21 2
 
1.4%
6.5 2
 
1.4%
14.7 2
 
1.4%
28.5 2
 
1.4%
2.2 2
 
1.4%
0.3 2
 
1.4%
Other values (112) 120
83.3%
ValueCountFrequency (%)
-1.2 1
0.7%
-0.7 1
0.7%
-0.6 1
0.7%
-0.3 1
0.7%
-0.2 1
0.7%
0 1
0.7%
0.1 1
0.7%
0.2 1
0.7%
0.3 2
1.4%
0.5 2
1.4%
ValueCountFrequency (%)
32.4 1
0.7%
31.5 1
0.7%
29.3 1
0.7%
28.9 1
0.7%
28.5 2
1.4%
28.2 1
0.7%
28 1
0.7%
27.5 1
0.7%
27.4 1
0.7%
27.3 1
0.7%

Average_Wind
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6923611
Minimum1
Maximum2.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:43.066799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q11.4
median1.65
Q31.9
95-th percentile2.3
Maximum2.6
Range1.6
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.34399542
Coefficient of variation (CV)0.2032636
Kurtosis-0.22905302
Mean1.6923611
Median Absolute Deviation (MAD)0.25
Skewness0.37609951
Sum243.7
Variance0.11833285
MonotonicityNot monotonic
2023-09-01T11:30:43.127131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.5 18
12.5%
1.7 18
12.5%
1.4 17
11.8%
1.6 17
11.8%
2 12
8.3%
1.3 10
6.9%
1.9 10
6.9%
1.8 9
6.2%
2.1 8
 
5.6%
2.3 5
 
3.5%
Other values (6) 20
13.9%
ValueCountFrequency (%)
1 4
 
2.8%
1.1 2
 
1.4%
1.2 4
 
2.8%
1.3 10
6.9%
1.4 17
11.8%
1.5 18
12.5%
1.6 17
11.8%
1.7 18
12.5%
1.8 9
6.2%
1.9 10
6.9%
ValueCountFrequency (%)
2.6 2
 
1.4%
2.4 4
 
2.8%
2.3 5
 
3.5%
2.2 4
 
2.8%
2.1 8
5.6%
2 12
8.3%
1.9 10
6.9%
1.8 9
6.2%
1.7 18
12.5%
1.6 17
11.8%

Average_Pressure
Real number (ℝ)

Distinct94
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean968.56389
Minimum960.2
Maximum976.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:30:43.202710image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum960.2
5-th percentile960.9
Q1963.55
median969.1
Q3973.025
95-th percentile975.4
Maximum976.8
Range16.6
Interquartile range (IQR)9.475

Descriptive statistics

Standard deviation5.0049292
Coefficient of variation (CV)0.0051673713
Kurtosis-1.3994216
Mean968.56389
Median Absolute Deviation (MAD)4.55
Skewness-0.13583453
Sum139473.2
Variance25.049316
MonotonicityNot monotonic
2023-09-01T11:30:43.276142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
961.9 4
 
2.8%
972.1 3
 
2.1%
974 3
 
2.1%
973.3 3
 
2.1%
965.9 3
 
2.1%
962.1 3
 
2.1%
971.3 3
 
2.1%
972.7 3
 
2.1%
970.9 3
 
2.1%
960.9 3
 
2.1%
Other values (84) 113
78.5%
ValueCountFrequency (%)
960.2 1
 
0.7%
960.5 1
 
0.7%
960.6 1
 
0.7%
960.7 1
 
0.7%
960.8 2
1.4%
960.9 3
2.1%
961 1
 
0.7%
961.2 1
 
0.7%
961.3 1
 
0.7%
961.4 1
 
0.7%
ValueCountFrequency (%)
976.8 1
0.7%
976.7 1
0.7%
976.2 1
0.7%
976.1 1
0.7%
975.8 1
0.7%
975.7 1
0.7%
975.5 1
0.7%
975.4 2
1.4%
975.2 2
1.4%
974.9 2
1.4%

Interactions

2023-09-01T11:30:36.655030image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:55.735603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:57.760945image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:00.108190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:02.075779image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:03.891793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:05.835192image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.547446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:09.095904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.643919image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.716044image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.293481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:15.905792image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.553457image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.660717image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.424102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:23.049443image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.650980image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.329336image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:27.833347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:29.932024image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.570185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:33.190086image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.813280image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.731751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:55.868687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:57.881237image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:00.186491image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:02.163564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:03.955184image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:05.900474image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.609818image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:09.169672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.712147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.781465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.362798image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:15.977800image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.620898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.730496image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.517636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:23.118603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.726825image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.395207image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:27.899251image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:30.006505image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.635379image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:33.264785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.895686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.806217image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:55.943582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:57.960194image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:00.266224image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:02.271352image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:04.018212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:06.001500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.672025image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:09.234357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.780827image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.854867image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.464256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:16.049682image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.696541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.798312image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.593811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:23.187055image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.800772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.462941image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:27.964911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:30.074647image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.705687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:33.332185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.980776image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.878131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:56.036268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:58.032327image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:00.336939image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:02.369637image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:04.079390image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:06.083308image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.740960image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:09.297543image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.848171image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.921076image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.531999image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:16.115198image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.769028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.861600image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.655661image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:23.251751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.873048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.523582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:28.030308image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:30.140865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.771894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:33.396914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:35.057810image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.949818image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:56.126306image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:58.130278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:00.429316image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-09-01T11:30:31.284812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:32.917658image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.496393image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.359492image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:38.185531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:57.471123image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:59.822641image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:01.858035image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:03.682994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:05.622848image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.343977image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:08.896261image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.435107image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.493404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.087223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:15.690229image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.345240image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.450229image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.168737image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:22.826754image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.437417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.117105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:27.641161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:29.703363image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.349971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:32.986523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.580725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.431325image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:38.257407image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:57.549177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:59.910124image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:01.926714image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:03.748741image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:05.686583image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.407836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:08.965415image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.500481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.557998image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.153362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:15.755144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.411511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.516830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.233131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:22.908341image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.502548image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.183273image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:27.702833image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:29.790416image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.416696image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:33.053242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.650668image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.500478image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:38.332863image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:29:57.677375image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:00.025937image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:02.005110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:03.823960image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:05.761170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:07.474303image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:09.031955image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:10.565794image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:12.638947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:14.224878image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:15.839255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:17.485222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:19.589945image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:21.304154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:22.983655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:24.577642image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:26.262537image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:27.768557image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:29.866102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:31.502900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:33.122772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:34.736375image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:30:36.579176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T11:30:43.363219image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100annual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressurecomplex_area
water_supply1.000-0.4470.559-0.575-0.529-0.284-0.2570.5850.3030.318-0.364-0.042-0.127-0.0440.5710.4990.5330.541-0.018-0.0610.252-0.004-0.3150.1400.394
Total_Population-0.4471.000-0.7240.7790.9710.947-0.339-0.782-0.157-0.4960.467-0.5530.7120.467-0.762-0.199-0.755-0.771-0.108-0.107-0.172-0.1050.3430.0130.446
Households0.559-0.7241.000-0.985-0.803-0.6090.0740.9840.4070.728-0.8130.133-0.540-0.1430.9850.5790.9620.9640.012-0.0500.1130.002-0.3680.0850.649
Population_per_Households-0.5750.779-0.9851.0000.8560.652-0.059-0.999-0.362-0.7440.786-0.1440.5410.157-0.995-0.584-0.976-0.979-0.066-0.008-0.150-0.0590.388-0.0390.670
Male_Population-0.5290.971-0.8030.8561.0000.860-0.187-0.859-0.208-0.5710.530-0.4380.6400.388-0.840-0.324-0.838-0.853-0.112-0.096-0.188-0.1110.3680.0060.485
Female_Population-0.2840.947-0.6090.6520.8601.000-0.584-0.655-0.109-0.3960.428-0.6600.7970.534-0.637-0.023-0.632-0.645-0.092-0.119-0.129-0.0800.2930.0140.406
Male_Female_Ratio-0.257-0.3390.074-0.059-0.187-0.5841.0000.063-0.064-0.025-0.1430.695-0.688-0.5610.060-0.4850.0750.0770.0190.069-0.039-0.008-0.045-0.0340.370
Population_aging_Ratio0.585-0.7820.984-0.999-0.859-0.6550.0631.0000.3680.735-0.7840.148-0.543-0.1590.9950.5820.9750.9780.0610.0040.1480.054-0.3850.0450.754
Power_usage0.303-0.1570.407-0.362-0.208-0.109-0.0640.3681.0000.101-0.299-0.050-0.1460.0090.4050.3030.2580.263-0.809-0.576-0.483-0.8110.2980.7170.279
Num_of_Business0.318-0.4960.728-0.744-0.571-0.396-0.0250.7350.1011.000-0.579-0.033-0.337-0.0670.7240.5160.7640.7570.2190.0740.1010.221-0.288-0.1530.408
Business_above_100-0.3640.467-0.8130.7860.5300.428-0.143-0.784-0.299-0.5791.0000.0150.449-0.045-0.782-0.480-0.789-0.780-0.0730.017-0.113-0.0700.361-0.0190.599
annual_household_income-0.042-0.5530.133-0.144-0.438-0.6600.6950.148-0.050-0.0330.0151.000-0.726-0.7760.147-0.6010.1320.147-0.0080.0460.071-0.023-0.049-0.0220.723
High_School_Graduate_num-0.1270.712-0.5400.5410.6400.797-0.688-0.543-0.146-0.3370.449-0.7261.0000.747-0.5440.053-0.529-0.533-0.011-0.053-0.0340.0100.201-0.0100.572
High_School_Graduate_ratio-0.0440.467-0.1430.1570.3880.534-0.561-0.1590.009-0.067-0.045-0.7760.7471.000-0.1540.378-0.151-0.1640.002-0.088-0.0550.0140.0260.0230.477
personal_expense0.571-0.7620.985-0.995-0.840-0.6370.0600.9950.4050.724-0.7820.147-0.544-0.1541.0000.5870.9630.9660.033-0.0160.1050.025-0.3450.0500.638
benefits_vs_personal_expense0.499-0.1990.579-0.584-0.324-0.023-0.4850.5820.3030.516-0.480-0.6010.0530.3780.5871.0000.5680.5590.025-0.036-0.0060.030-0.1930.0380.538
employment_ratio0.533-0.7550.962-0.976-0.838-0.6320.0750.9750.2580.764-0.7890.132-0.529-0.1510.9630.5681.0000.9990.1640.0860.1920.152-0.410-0.0370.593
employment_insurance_ratio0.541-0.7710.964-0.979-0.853-0.6450.0770.9780.2630.757-0.7800.147-0.533-0.1640.9660.5590.9991.0000.1580.0870.1940.148-0.410-0.0330.571
Average_Temp-0.018-0.1080.012-0.066-0.112-0.0920.0190.061-0.8090.219-0.073-0.008-0.0110.0020.0330.0250.1640.1581.0000.7420.5240.992-0.387-0.8750.000
Monthly_Rainfall-0.061-0.107-0.050-0.008-0.096-0.1190.0690.004-0.5760.0740.0170.046-0.053-0.088-0.016-0.0360.0860.0870.7421.0000.5280.709-0.230-0.6720.000
Average_Relative_Humadity0.252-0.1720.113-0.150-0.188-0.129-0.0390.148-0.4830.101-0.1130.071-0.034-0.0550.105-0.0060.1920.1940.5240.5281.0000.498-0.712-0.2820.118
Ground_Temp-0.004-0.1050.002-0.059-0.111-0.080-0.0080.054-0.8110.221-0.070-0.0230.0100.0140.0250.0300.1520.1480.9920.7090.4981.000-0.380-0.8780.000
Average_Wind-0.3150.343-0.3680.3880.3680.293-0.045-0.3850.298-0.2880.361-0.0490.2010.026-0.345-0.193-0.410-0.410-0.387-0.230-0.712-0.3801.0000.0890.118
Average_Pressure0.1400.0130.085-0.0390.0060.014-0.0340.0450.717-0.153-0.019-0.022-0.0100.0230.0500.038-0.037-0.033-0.875-0.672-0.282-0.8780.0891.0000.000
complex_area0.3940.4460.6490.6700.4850.4060.3700.7540.2790.4080.5990.7230.5720.4770.6380.5380.5930.5710.0000.0000.1180.0000.1180.0001.000

Missing values

2023-09-01T11:30:38.472891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T11:30:38.705464image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-015828.83871023478.010347.02.26906311748.011730.01.00153526.918360000.0575.05.0346308.0840.0265.01.09958522910253.0116.22222.00.094642-3.339.771.0-0.22.1973.5
2010-02-015624.96428623472.010353.02.26716911734.011738.00.99965926.917157000.0620.05.0346308.0840.0265.01.09958522910253.0116.22264.00.0964551.0111.171.02.71.8971.3
2010-03-015036.87096823470.010364.02.26457011718.011752.00.99710727.015226000.0765.04.0346308.0840.0265.01.09958522910253.0116.22430.00.1035364.472.768.06.12.3970.7
2010-04-014423.46666723529.010399.02.26262111735.011794.00.99499727.015163000.0925.03.0346308.0840.0265.01.09958522910253.0116.22494.00.1059978.397.164.010.52.3969.6
2010-05-014741.74193523522.010411.02.25934111740.011782.00.99643527.012450000.0965.03.0346308.0840.0265.01.09958522910253.0116.22535.00.10777115.8128.066.018.22.0964.1
2010-06-014985.83333323452.010415.02.25175211696.011756.00.99489627.110509000.01023.03.0346308.0840.0265.01.09958522910253.0116.22449.00.10442621.235.771.025.11.4963.4
2010-07-015038.41935523400.010401.02.24978411678.011722.00.99624627.19865000.0762.03.0346308.0840.0265.01.09958522910253.0116.22467.00.10542723.8375.880.025.71.6962.6
2010-08-015937.93548423373.010389.02.24978311665.011708.00.99632727.110752000.0832.03.0346308.0840.0265.01.09958522910253.0116.22539.00.10863025.4675.981.027.41.6965.3
2010-09-015877.76666723332.010390.02.24562111635.011697.00.99469927.110854000.0874.03.0346308.0840.0265.01.09958522910253.0116.22528.00.10834920.2218.980.023.01.5967.3
2010-10-015673.09677423423.010474.02.23629911664.011759.00.99192127.211189000.0930.03.0346308.0840.0265.01.09958522910253.0116.22571.00.10976411.959.777.014.91.4971.3
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-016724.19354821946.011528.01.90371310946.011000.00.99509134.620237130.01272.01.0485855.01213.0143.00.86666746310342.0172.83744.00.1706017.2109.374.09.01.5970.9
2021-04-016768.86666721910.011529.01.90042510935.010975.00.99635534.618302118.01558.01.0485855.01213.0143.00.86666746310342.0172.83833.00.17494311.650.863.013.81.8970.3
2021-05-016833.25806521902.011551.01.89611310925.010977.00.99526334.715120379.01755.01.0485855.01213.0143.00.86666746310342.0172.83912.00.17861415.2117.977.017.41.6962.7
2021-06-017066.30000021880.011557.01.89322510922.010958.00.99671534.813999445.01726.01.0485855.01213.0143.00.86666746310342.0172.83886.00.17760520.6150.081.022.91.1961.8
2021-07-017530.61290321854.011557.01.89097510906.010948.00.99616434.913964950.01327.01.0485855.01213.0143.00.86666746310342.0172.83976.00.18193524.2203.685.027.51.0962.9
2021-08-017733.22580621811.011561.01.88660210882.010929.00.99570035.015999350.01221.01.0485855.01213.0143.00.86666746310342.0172.83953.00.18123923.2380.789.026.21.0963.0
2021-09-017793.16666721755.011566.01.88094410852.010903.00.99532235.115505600.01212.01.0485855.01213.0143.00.86666746310342.0172.83995.00.18363619.8111.886.023.21.2967.1
2021-10-017929.90322621731.011581.01.87643610830.010901.00.99348735.314753686.01267.01.0485855.01213.0143.00.86666746310342.0172.83990.00.18360912.649.882.015.31.0973.6
2021-11-017397.73333321723.011581.01.87574510822.010901.00.99275335.419012401.01306.01.0485855.01213.0143.00.86666746310342.0172.83962.00.1823875.692.278.06.51.3971.6
2021-12-017424.54838721695.011584.01.87284210812.010883.00.99347635.623091343.01322.01.0485855.01213.0143.00.86666746310342.0172.83789.00.1746490.25.072.01.31.7975.2